Construction and Application of County-Level Database of Basic Rural Economic Information

2014 ◽  
Vol 651-653 ◽  
pp. 1547-1551
Author(s):  
Yan Xue ◽  
Ye Ping Zhu ◽  
Yue E

This paper describes data cleaning and reporting to effectively improve data quality in the construction of County-level Database of Basic Rural Economic Information. Modeling and GIS, as well as relevant design and development software are also incorporated, so that the database can fulfill the potential and serve for agricultural production, agricultural policy development, and agricultural management.

2020 ◽  
Author(s):  
Araceli Martín-Candilejo ◽  
David Santillan ◽  
Luis Garrote ◽  
Ana Iglesias

<p>Aiming to evaluate the effect of agricultural management practices in the environmental footprint, this study develops scenarios of future farm and soil management systems for improved productivity and enhanced soil quality. The analysis is at the continental scale in Europe and China. The evaluation has two components: (1) A multi-actor approach is used to develop the policy scenarios; and (2) An upscalling model is used to evaluate the effect of the scenarios at the continental scale. The results are presented in a series of maps with a 10 x 10 km resolutions, that allow comparison of strategies relevant to agricultural policy development. Three scenarios are evaluated: The Expected scenario maintains the observed tendency in the implementation of beneficial agricultural management practices. The Regional Targets assumes the same rate of implementation of agricultural management practices, but considers that policy efforts are focused on areas where soil threats are more active and soil quality indicators are poorer. The emphasis, therefore, is place on targeting the regions that where the practices would be more beneficial. The Towards 2050 scenario assumes an intensification on the rate of implementation of agricultural management practices as a result of public policies. The scenarios are necessarily a simplification of the complex policy processes that influences farmer choices at the local and regional levels. The content of the study is based on the results of the iSQAPER (http://www.isqaper-project.eu/) H2020 project.</p>


2017 ◽  
Author(s):  
Tomasz Wojewodzic ◽  

The turn of the 20th and 21st centuries has been a very dynamic period of change in Poland and around the world; also a period of change in thinking about the economy and agriculture. The present work is a study of the decline, divestments and development of agriculture in the areas of fragmented farming structure. The reflections presented herein, upon the processes of the remodelling of agrarian structures, of divestments in farming, and disagrarisation, are mostly anchored in the achievements of the theory of spatial economy (land management), and the microeconomic theories of choice, including the theory of an agricultural holding (farm) and land rent theories. The work focuses on the economic issues of remodelling the agrarian structure, but due to the nature of the issues discussed herein, specifically in relation to family-owned farms, the social and environmental aspects also needed to be taken into account – in response to the need for a heterogeneous approach, which is increasingly stressed in economic sciences today. The main objective of the research was to diagnose and assess the scale and scope of the mechanisms and processes that inform the decline and growth of agricultural holdings in the areas with fragmented farming structure. The study covered the area comprising four regions (provinces) of south-eastern Poland, which – according to the FADN nomenclature – form the macro region of Małopolska and Pogórze. The study of subject literature has been enriched with an analysis of available statistics; data from the Farm Accountancy Data Network (FADN); information obtained from the Department of Programming and Reporting at the Agency for Restructuring and Modernisation of Agriculture; and author’s own research conducted among farm owners. The information thus obtained made it possible to: • Determine the theoretical premises for the spatial diversity of agriculture, and the role of small farms in the shaping of agrarian structure. • Adapt the concept of “divestment” for the description and analysis of the phenomena occurring in agriculture. • Indicate the role and importance of the processes of divestment and disagrarisation in the restructuring of agriculture. • Assess the natural, social and economic determinants of the process of restructuring agriculture in areas with fragmented farming structure. • Assess selected aspects of economic efficiency of agriculture in areas with fragmented farming structure, with the focus on small and micro farms. • Carry out an ex ante evaluation of the impact of agricultural policy instruments on the process of restructuring of agriculture in the macro region of Małopolska and Pogórze. • Identify the indicators of decline and fall, and barriers to the liquidation of farms. • Assess the relationship between the level of socio-economic development, the structure of farming, and the quality of agricultural production space in a given territorial unit, versus the intensity of the economic and production disagrarisation processes in agricultural holdings. • Propose targeted solutions conducive to the improvement of the farming structure in areas with a high framentation of agriculture. Observation of the processes occurring in agriculture, and the scientific theories created on the basis thereof, have shown that even the smallest farms have a chance to continue in existence, provided that we are able to positively verify their adaptation to the changing conditions in the environment. Carrying out farming activity is a prerequisite for implementing the economic, social and environmental functions associated with family farms. At the same time, based on the analyses performed, we need to assume that the advanced processes of the production and economic disagrarisation of agricultural holdings are to a greater extent determined by the anatomical features of agriculture, and by the natural conditions, than by the level of socio-economic development of the given territorial unit. In the current economic climate, the remodelling of the agrarian structure is only possible with the active participation of the institutions responsible for the creation of economic growth and agricultural policy development. It is extremely important from the point of view of environmental protection, and the viability of rural areas, to support small farms engaged in agricultural activities, and to introduce such instruments that will enable the replacement of an economic collapse with divestments, carried out in a planned manner, and allowing for thus released agricultural resources to find alternative application in units with a higher development potential. The area of theoretical research requiring further exploration includes the issues such as transactional costs of the liquidation of agricultural holdings, and the assessment of the economic effectiveness of conducting divestments.


2006 ◽  
Vol 38 (3) ◽  
pp. 575-584 ◽  
Author(s):  
Cheryl Brown ◽  
Jesse E. Gandee ◽  
Gerard D'Souza

To understand the factors that influence farm direct marketing, a linear regression model is estimated to test the relationships between county-level direct market sales and socioeconomic, agricultural production, and location characteristics for West Virginia. The results show that higher median housing value, increased population density, a younger population, a greater number of direct market farms, more diversity of fruit and vegetable production and closer proximity to Washington, D.C., increase direct market sales. The results have implications for other states with a large proportion of small and part-time farmers, many of whom are located in close proximity to metropolitan areas.


Author(s):  
David Lugo ◽  
Juan Ortega

A key process in the oil industry to make decisions is data collection. To improve productivity it is important data and information analysis. For many organizations is not profitable data automation, which has an impact in the way organizations, collect data. Data collection is taken by manual processes that create uncertainty for analysis because it is not reliable. As consequence, making a decision has not the planned results. After working for many years in the oil industry was identified: 1. People collecting data in a manual process normally by using a piece of paper which could be lost or damage. 2. After taking data at the well, data are brought to the office. Then, data are downloaded by another worker in computer software. It can be modified intentionally or not. 3. Accuracy of data collection activity is carried out. How do we know if the staff really went to work area? 4. Training to new staff, lack of experience? 5. There are “risks zones” due vandalism, facilities are damaged by people who stole devices which causes great money losses to companies. All these mentioned factors affect decision making which has a big impact in the production process. This application helps the whole process from collection data until data are registered in databases. This application considered several observations, suggestions and comments from people involve in the oil industry, especially at the production area. As a result, it is a tool that support data collection, standardize information in databases, improve data quality (it doesn’t matter localization), shows time and photographic position in a mobile device. Information is generated digitally taking advantage of easy handling. To summarize advantages of the whole system: • Reduce time of the data re-collection process • Improve data quality • Reduce amount of people working on data registration • Data reliability • Support decisions making • Minimize the use of paper in order to help ambient environment • Improve vehicle logistics • Minimize use of gasoline which helps to reduce costs • Help to optimize routes for vehicles on the field • Productivity, Maintenance, etc., reports can be generated • Vandalism is not a problem


2019 ◽  
Vol 6 (3) ◽  
pp. 69
Author(s):  
Jenny J. Ly ◽  
Rinah T. Yamamoto ◽  
Susan M. Dallabrida

<p class="abstract"><strong>Background:</strong> In migraine clinical trials, patients’ understanding of the terminology used in patient-reported outcome (PRO) measures is important as variability in completing PRO measures can reduce the power to detect treatment efficacy. This study examines patients’ understanding of how to complete PRO measures in the absence of training, if minimal training can improve the accuracy of answering PRO items, and patients’ opinion on the necessity of training and their preference for the method of training.</p><p class="abstract"><strong>Methods:</strong> Participants reporting a diagnosis of migraine completed online surveys. Participants were given scenarios of how to report headache days and pain severity. Respondents were asked about their opinions on the necessity of training, and their preference for the method of training. In a second study, participants were given a hypothetical scenario on how to report pain severity before and after a short training.</p><p class="abstract"><strong>Results:</strong> The majority of participants had different criteria to interpret PRO questions and provided incorrect answers to our scenarios. In the second study, with minimal training, errors were reduced by 7.5%. Over 90% of participants viewed educational materials and training as necessary and preferred electronic modes of training with the ability to review training materials as needed for the duration of the trial.</p><p class="abstract"><strong>Conclusions: </strong>Patient training may improve data quality and inter-rater reliability in clinical trials. Electronic interactive training could be used as an approach to reduce inconsistencies in PRO measures and improve data quality.</p>


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